Overview

Dataset statistics

Number of variables5
Number of observations413
Missing cells73
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory40.3 B

Variable types

Categorical2
Text3

Dataset

Description제주특별자치도 제주시 관내 식품제조가공업 관련 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056161/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 73 (17.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:56:49.870588
Analysis finished2023-12-12 06:56:50.378834
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
식품제조가공업
413 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품제조가공업
2nd row식품제조가공업
3rd row식품제조가공업
4th row식품제조가공업
5th row식품제조가공업

Common Values

ValueCountFrequency (%)
식품제조가공업 413
100.0%

Length

2023-12-12T15:56:50.452182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:56:50.558903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 413
100.0%

업소명
Text

Distinct412
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:56:50.737037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.0121065
Min length2

Characters and Unicode

Total characters3309
Distinct characters376
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)99.5%

Sample

1st row신토두부
2nd row추자도수산업협동조합
3rd row영농조합법인제주감귤과자
4th row강진맛김
5th row풍년
ValueCountFrequency (%)
주식회사 17
 
3.7%
농업회사법인 9
 
2.0%
영어조합법인 5
 
1.1%
영농조합법인 3
 
0.7%
주식회사제키스 2
 
0.4%
재)제주테크노파크 2
 
0.4%
유한회사 2
 
0.4%
한마음식품 2
 
0.4%
어업회사법인(주)추자도오름수산 1
 
0.2%
해성수산 1
 
0.2%
Other values (413) 413
90.4%
2023-12-12T15:56:51.087084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 246
 
7.4%
제 134
 
4.0%
사 125
 
3.8%
식 116
 
3.5%
회 116
 
3.5%
인 107
 
3.2%
법 98
 
3.0%
농 95
 
2.9%
) 86
 
2.6%
( 84
 
2.5%
Other values (366) 2102
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3069
92.7%
Close Punctuation 86
 
2.6%
Open Punctuation 84
 
2.5%
Space Separator 44
 
1.3%
Uppercase Letter 15
 
0.5%
Decimal Number 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 246
 
8.0%
제 134
 
4.4%
사 125
 
4.1%
식 116
 
3.8%
회 116
 
3.8%
인 107
 
3.5%
법 98
 
3.2%
농 95
 
3.1%
영 64
 
2.1%
합 63
 
2.1%
Other values (347) 1905
62.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
N 2
13.3%
Y 2
13.3%
M 1
 
6.7%
B 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
H 1
 
6.7%
L 1
 
6.7%
R 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 3
27.3%
0 1
 
9.1%
9 1
 
9.1%
5 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3069
92.7%
Common 225
 
6.8%
Latin 15
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 246
 
8.0%
제 134
 
4.4%
사 125
 
4.1%
식 116
 
3.8%
회 116
 
3.8%
인 107
 
3.5%
법 98
 
3.2%
농 95
 
3.1%
영 64
 
2.1%
합 63
 
2.1%
Other values (347) 1905
62.1%
Latin
ValueCountFrequency (%)
A 3
20.0%
N 2
13.3%
Y 2
13.3%
M 1
 
6.7%
B 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
H 1
 
6.7%
L 1
 
6.7%
R 1
 
6.7%
Common
ValueCountFrequency (%)
) 86
38.2%
( 84
37.3%
44
19.6%
2 5
 
2.2%
1 3
 
1.3%
0 1
 
0.4%
9 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3069
92.7%
ASCII 240
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 246
 
8.0%
제 134
 
4.4%
사 125
 
4.1%
식 116
 
3.8%
회 116
 
3.8%
인 107
 
3.5%
법 98
 
3.2%
농 95
 
3.1%
영 64
 
2.1%
합 63
 
2.1%
Other values (347) 1905
62.1%
ASCII
ValueCountFrequency (%)
) 86
35.8%
( 84
35.0%
44
18.3%
2 5
 
2.1%
A 3
 
1.2%
1 3
 
1.2%
N 2
 
0.8%
Y 2
 
0.8%
0 1
 
0.4%
9 1
 
0.4%
Other values (9) 9
 
3.8%

소재지
Text

Distinct375
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:56:51.328121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.484262
Min length17

Characters and Unicode

Total characters9286
Distinct characters193
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)88.1%

Sample

1st row제주특별자치도 제주시 우평로 347
2nd row제주특별자치도 제주시 추자면 추자로 2
3rd row제주특별자치도 제주시 한림읍 상명2길 7
4th row제주특별자치도 제주시 동문로2길 17-1
5th row제주특별자치도 제주시 삼성로 133
ValueCountFrequency (%)
제주시 413
22.0%
제주특별자치도 412
22.0%
애월읍 62
 
3.3%
조천읍 51
 
2.7%
구좌읍 40
 
2.1%
한림읍 37
 
2.0%
일주동로 19
 
1.0%
한경면 17
 
0.9%
102 11
 
0.6%
추자면 11
 
0.6%
Other values (528) 803
42.8%
2023-12-12T15:56:51.703428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1516
16.3%
주 866
 
9.3%
제 837
 
9.0%
도 443
 
4.8%
자 431
 
4.6%
치 414
 
4.5%
특 413
 
4.4%
별 413
 
4.4%
시 413
 
4.4%
1 283
 
3.0%
Other values (183) 3257
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6300
67.8%
Space Separator 1516
 
16.3%
Decimal Number 1344
 
14.5%
Dash Punctuation 121
 
1.3%
Other Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 866
13.7%
제 837
13.3%
도 443
 
7.0%
자 431
 
6.8%
치 414
 
6.6%
특 413
 
6.6%
별 413
 
6.6%
시 413
 
6.6%
로 249
 
4.0%
길 225
 
3.6%
Other values (168) 1596
25.3%
Decimal Number
ValueCountFrequency (%)
1 283
21.1%
2 224
16.7%
3 151
11.2%
4 134
10.0%
5 108
 
8.0%
7 106
 
7.9%
6 101
 
7.5%
0 91
 
6.8%
8 81
 
6.0%
9 65
 
4.8%
Space Separator
ValueCountFrequency (%)
1516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6300
67.8%
Common 2986
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 866
13.7%
제 837
13.3%
도 443
 
7.0%
자 431
 
6.8%
치 414
 
6.6%
특 413
 
6.6%
별 413
 
6.6%
시 413
 
6.6%
로 249
 
4.0%
길 225
 
3.6%
Other values (168) 1596
25.3%
Common
ValueCountFrequency (%)
1516
50.8%
1 283
 
9.5%
2 224
 
7.5%
3 151
 
5.1%
4 134
 
4.5%
- 121
 
4.1%
5 108
 
3.6%
7 106
 
3.5%
6 101
 
3.4%
0 91
 
3.0%
Other values (5) 151
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6300
67.8%
ASCII 2986
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1516
50.8%
1 283
 
9.5%
2 224
 
7.5%
3 151
 
5.1%
4 134
 
4.5%
- 121
 
4.1%
5 108
 
3.6%
7 106
 
3.5%
6 101
 
3.4%
0 91
 
3.0%
Other values (5) 151
 
5.1%
Hangul
ValueCountFrequency (%)
주 866
13.7%
제 837
13.3%
도 443
 
7.0%
자 431
 
6.8%
치 414
 
6.6%
특 413
 
6.6%
별 413
 
6.6%
시 413
 
6.6%
로 249
 
4.0%
길 225
 
3.6%
Other values (168) 1596
25.3%

전화번호
Text

MISSING 

Distinct334
Distinct (%)98.2%
Missing73
Missing (%)17.7%
Memory size3.4 KiB
2023-12-12T15:56:51.982051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035294
Min length9

Characters and Unicode

Total characters4092
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)96.5%

Sample

1st row064-742-8193
2nd row064-796-6804
3rd row064-722-5615
4th row064-783-5853
5th row064-713-6350
ValueCountFrequency (%)
064-751-1014 2
 
0.6%
064-782-1238 2
 
0.6%
064-721-1950 2
 
0.6%
064-721-1280 2
 
0.6%
064-782-1101 2
 
0.6%
064-723-0318 2
 
0.6%
064-724-1235 1
 
0.3%
070-8871-7796 1
 
0.3%
064-742-2415 1
 
0.3%
064-751-8773 1
 
0.3%
Other values (324) 324
95.3%
2023-12-12T15:56:52.442308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 679
16.6%
0 597
14.6%
4 520
12.7%
7 506
12.4%
6 464
11.3%
2 295
7.2%
8 239
 
5.8%
1 228
 
5.6%
5 213
 
5.2%
9 182
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3413
83.4%
Dash Punctuation 679
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 597
17.5%
4 520
15.2%
7 506
14.8%
6 464
13.6%
2 295
8.6%
8 239
7.0%
1 228
 
6.7%
5 213
 
6.2%
9 182
 
5.3%
3 169
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 679
16.6%
0 597
14.6%
4 520
12.7%
7 506
12.4%
6 464
11.3%
2 295
7.2%
8 239
 
5.8%
1 228
 
5.6%
5 213
 
5.2%
9 182
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 679
16.6%
0 597
14.6%
4 520
12.7%
7 506
12.4%
6 464
11.3%
2 295
7.2%
8 239
 
5.8%
1 228
 
5.6%
5 213
 
5.2%
9 182
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2021-02-26
413 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-26
2nd row2021-02-26
3rd row2021-02-26
4th row2021-02-26
5th row2021-02-26

Common Values

ValueCountFrequency (%)
2021-02-26 413
100.0%

Length

2023-12-12T15:56:52.588090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:56:52.693872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-26 413
100.0%

Missing values

2023-12-12T15:56:50.227598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:56:50.330821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업종명업소명소재지전화번호데이터기준일자
0식품제조가공업신토두부제주특별자치도 제주시 우평로 347<NA>2021-02-26
1식품제조가공업추자도수산업협동조합제주특별자치도 제주시 추자면 추자로 2064-742-81932021-02-26
2식품제조가공업영농조합법인제주감귤과자제주특별자치도 제주시 한림읍 상명2길 7064-796-68042021-02-26
3식품제조가공업강진맛김제주특별자치도 제주시 동문로2길 17-1064-722-56152021-02-26
4식품제조가공업풍년제주특별자치도 제주시 삼성로 133<NA>2021-02-26
5식품제조가공업(주)대동제주특별자치도 제주시 구좌읍 행원로13길 39064-783-58532021-02-26
6식품제조가공업만미식품제주특별자치도 제주시 애월읍 구엄남길 3064-713-63502021-02-26
7식품제조가공업(주)제주로얄식품제주특별자치도 제주시 아란서길 91064-702-51812021-02-26
8식품제조가공업농업회사법인 한백푸드 유한회사제주특별자치도 제주시 구좌읍 동김길 13-14064-748-27292021-02-26
9식품제조가공업주식회사돌하르방식품제주특별자치도 제주시 조천읍 대와상길 104-14064-784-44332021-02-26
업종명업소명소재지전화번호데이터기준일자
403식품제조가공업쫀득한제주제주특별자치도 제주시 조천읍 신촌남8길 87064-782-61222021-02-26
404식품제조가공업일해영어조합법인제주특별자치도 제주시 도두항서길 21064-756-39452021-02-26
405식품제조가공업한샘영농조합법인제주특별자치도 제주시 애월읍 곽봉로 213064-799-55302021-02-26
406식품제조가공업농업회사법인제이엠푸드주식회사제주특별자치도 제주시 신산마을길 113064-747-83832021-02-26
407식품제조가공업(주)핀토르제주특별자치도 제주시 한경면 저지10길 2064-794-51112021-02-26
408식품제조가공업오마이솔트제주특별자치도 제주시 애월읍 번대동길 66<NA>2021-02-26
409식품제조가공업열리왓농원제주특별자치도 제주시 애월읍 봉성동4길 5<NA>2021-02-26
410식품제조가공업주식회사 제이엠에프엔비제주특별자치도 제주시 애월읍 평화로 2715<NA>2021-02-26
411식품제조가공업조끄뜨레 식자재마트제주특별자치도 제주시 국기로 33064-713-00122021-02-26
412식품제조가공업오롯제주특별자치도 제주시 조천읍 신북로 95<NA>2021-02-26